Comparison
agenta vs llm-workflow-engine
Verdict
Pick agenta if agenta, an open-source LLMOps platform for prompt management, evaluation, and observability; pick llm-workflow-engine if critical Decision Factors for 'llm-workflow-engine'.
Markdown twin · agenta alternatives · llm-workflow-engine alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | agenta | llm-workflow-engine |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Active (23d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agenta
- The open-source LLMOps platform for prompt management, evaluation, and observability.
- llm-workflow-engine
- Power CLI and Workflow manager for LLMs (core package)
Stars
- agenta
- 4.4k
- llm-workflow-engine
- 3.7k
Forks
- agenta
- 609
- llm-workflow-engine
- 468
Open issues
- agenta
- 270
- llm-workflow-engine
- 3
Language
- agenta
- TypeScript
- llm-workflow-engine
- Python
Adopt for
- agenta
- Agenta, an open-source LLMOps platform for prompt management, evaluation, and observability.
- llm-workflow-engine
- Critical Decision Factors for 'llm-workflow-engine'
Persona
- agenta
- -
- llm-workflow-engine
- -
Runtime
- agenta
- -
- llm-workflow-engine
- -
License
- agenta
- Other
- llm-workflow-engine
- MIT-licensed, offering flexibility under non-restrictive open-source terms.
Last pushed
- agenta
- Aug 7, 2026
- llm-workflow-engine
- Jul 15, 2026
Categories
- agenta
- Evaluation & Observability, LLM Frameworks
- llm-workflow-engine
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- agenta
- Very active (96%)
- llm-workflow-engine
- Active (82%)
Days since push
- agenta
- 0d
- llm-workflow-engine
- 23d
Open issues (now)
- agenta
- 270
- llm-workflow-engine
- 3
Stars delta
- agenta
- +170 (30d)
- llm-workflow-engine
- Unknown
Open issues delta
- agenta
- +109 (30d)
- llm-workflow-engine
- Unknown
OSV dependency advisories
- agenta
- No lockfile (source not queried)
- llm-workflow-engine
- Published findings
Full report
- agenta
- Trust report
- llm-workflow-engine
- Trust report
Choose agenta if…
- agenta is primarily TypeScript; llm-workflow-engine is Python.
- License: agenta is Other, llm-workflow-engine is MIT.
- Tags unique to agenta: agents, evaluation, llm-as-a-judge, llm-evaluation.
- Also covers Evaluation & Observability.
- Need a self-hosted solution with built-in prompt playground and LLM evaluation capabilities
When NOT to use agenta
- Looking for a service without the need to manage self-hosting setup
- Require real-time collaboration features that are not provided within this platform's scope
Choose llm-workflow-engine if…
- llm-workflow-engine is primarily Python; agenta is TypeScript.
- License: llm-workflow-engine is MIT, agenta is Other.
- Requirements: Built for a Python environment which may not fully cater to workflows outside of this language..
- Tags unique to llm-workflow-engine: chatbot, chatgpt, gpt-3, gpt3.
- Also covers Developer Tools.
- llm-workflow-engine ships Docker support for self-hosted deployment.
- When developing workflows around Large Language Models (LLMs), particularly if your projects are Python-based, to streamline model integration and management via CLI.
When NOT to use llm-workflow-engine
- Avoid using llm-workflow-engine if you need deep integrations with proprietary systems that are incompatible with MIT licensing terms and conditions.
- Do not use this tool if your primary development environment is not Python-based, as the effectiveness of the CLI and workflow manager might be limited without Python support.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Agenta-AI/agenta) · observed Aug 7, 2026
- GitHub forks (Agenta-AI/agenta) · observed Aug 7, 2026
- Last push (Agenta-AI/agenta) · observed Aug 7, 2026
- License file (Other) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (llm-workflow-engine/llm-workflow-engine) · observed Aug 8, 2026
- GitHub forks (llm-workflow-engine/llm-workflow-engine) · observed Aug 8, 2026
- Last push (llm-workflow-engine/llm-workflow-engine) · observed Jul 15, 2026
- License file (MIT) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agenta 4.4k · llm-workflow-engine 3.7k (synced Aug 7, 2026).
Common questions
- What is the difference between agenta and llm-workflow-engine?
- agenta: The open-source LLMOps platform for prompt management, evaluation, and observability.. llm-workflow-engine: Power CLI and Workflow manager for LLMs (core package). See the comparison table for live GitHub stats and shared categories.
- When should I choose agenta over llm-workflow-engine?
- Choose agenta over llm-workflow-engine when agenta is primarily TypeScript; llm-workflow-engine is Python; License: agenta is Other, llm-workflow-engine is MIT; Tags unique to agenta: agents, evaluation, llm-as-a-judge, llm-evaluation; Also covers Evaluation & Observability; Need a self-hosted solution with built-in prompt playground and LLM evaluation capabilities.
- When should I choose llm-workflow-engine over agenta?
- Choose llm-workflow-engine over agenta when llm-workflow-engine is primarily Python; agenta is TypeScript; License: llm-workflow-engine is MIT, agenta is Other; Requirements: Built for a Python environment which may not fully cater to workflows outside of this language.; Tags unique to llm-workflow-engine: chatbot, chatgpt, gpt-3, gpt3; Also covers Developer Tools; llm-workflow-engine ships Docker support for self-hosted deployment; When developing workflows around Large Language Models (LLMs), particularly if your projects are Python-based, to streamline model integration and management via CLI.
- When should I avoid agenta?
- Looking for a service without the need to manage self-hosting setup Require real-time collaboration features that are not provided within this platform's scope
- When should I avoid llm-workflow-engine?
- Avoid using llm-workflow-engine if you need deep integrations with proprietary systems that are incompatible with MIT licensing terms and conditions. Do not use this tool if your primary development environment is not Python-based, as the effectiveness of the CLI and workflow manager might be limited without Python support.
- Is agenta or llm-workflow-engine more popular on GitHub?
- agenta has more GitHub stars (4,445 vs 3,720). Stars measure visibility, not whether either tool fits your constraints.
- Are agenta and llm-workflow-engine open source?
- Yes - both are open-source projects on GitHub (agenta: Other, llm-workflow-engine: MIT).
- Where can I find alternatives to agenta or llm-workflow-engine?
- GraphCanon lists graph-backed alternatives at agenta alternatives and llm-workflow-engine alternatives (agenta markdown twin, llm-workflow-engine markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, agenta or llm-workflow-engine?
- agenta: Very active. llm-workflow-engine: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for agenta and llm-workflow-engine?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agenta trust report; llm-workflow-engine trust report.